diff --git a/README.md b/README.md index fca178288..595b646af 100644 --- a/README.md +++ b/README.md @@ -1257,6 +1257,7 @@ Tools and integrations that enhance the development workflow and environment man - [linuxsuren/atest-mcp-server](https://github.com/LinuxSuRen/atest-mcp-server) 📇 🏠 🐧 - An MCP server to manage test suites and cases, which is an alternative to Postman. - [linw1995/nvim-mcp](https://github.com/linw1995/nvim-mcp) 🦀 🏠 🍎 🪟 🐧 - A MCP server to interact with Neovim - [jarvisassistantux/loopsense](https://github.com/jarvisassistantux/loopsense) [![jarvisassistantux/loopsense MCP server](https://glama.ai/mcp/servers/jarvisassistantux/loopsense/badges/score.svg)](https://glama.ai/mcp/servers/jarvisassistantux/loopsense) 📇 🏠 - MCP server that closes the feedback loop for AI coding agents — CI monitoring, process watching, file changes, HTTP polling. +- [lorenzo-cambiaghi/LynxMCP](https://github.com/lorenzo-cambiaghi/LynxMCP) [![lorenzo-cambiaghi/LynxMCP MCP server](https://glama.ai/mcp/servers/lorenzo-cambiaghi/LynxMCP/badges/score.svg)](https://glama.ai/mcp/servers/lorenzo-cambiaghi/LynxMCP) 🐍 🏠 🍎 🪟 🐧 - 100% local semantic code search for AI agents: AST-aware chunking (tree-sitter), hybrid BM25+dense retrieval, and a code knowledge graph (callers, inheritance, imports) over codebases, docs sites, and PDFs. Install via `pipx install lynx-mcp`. - [louis030195/gptzero-mcp](https://github.com/louis030195/gptzero-mcp) 📇 ☁️ 🍎 🪟 🐧 - AI detection for text content with GPTZero API. Detect AI-generated text, get confidence scores, multilingual support (French/Spanish), and detailed probability breakdowns. - [lpigeon/ros-mcp-server](https://github.com/lpigeon/ros-mcp-server) 🐍 🏠 🍎 🪟 🐧 - The ROS MCP Server supports robot control by converting user-issued natural language commands into ROS or ROS2 control commands. - [lpigeon/unitree-go2-mcp-server](https://github.com/lpigeon/unitree-go2-mcp-server) 🐍 🏠 🐧 - The Unitree Go2 MCP Server is a server built on the MCP that enables users to control the Unitree Go2 robot using natural language commands interpreted by a LLM.